Method of Determining Single Sampling Frequency of Classification Target Signal in Order to Predict Modulation Type of Classification Target Signal, and Method and Apparatus for Predicting Modulation Type by Using Classification Target Signal Sampled with Single Sampling Frequency

3. The method of claim 2, wherein the calculating of the mean value of the bandwidth values comprises further generating the calculated mean value to increase a number of bandwidth values, so that the bandwidth values have a normal distribution characteristic.

5. The method of claim 4, wherein the single sampling frequency is a variance value of bandwidth values available in wireless communication between the transmitting apparatus and the receiving apparatus and a mean value of the bandwidth values.

7. The method of claim 6, wherein the calculating of the mean value and the standard deviation value comprises further generating a bandwidth value corresponding to the calculated mean value and a bandwidth value corresponding to the standard deviation value to increase a number of bandwidth values, so that the bandwidth values have a normal distribution characteristic.

11. The receiving apparatus of claim 8, wherein the classifier learns based on machine learning by using training data including the I data and the Q data sampled with the single sampling frequency.

12. The receiving apparatus of claim 11, wherein the machine learning is supervised learning.

13. The receiving apparatus of claim 8, further comprising a demodulator configured to perform demodulation on the classification target signal on the basis of the modulation type of the classification target signal classified by the classifier.